MetaProfiles - A Mechanism to Express Metadata Schema, Privacy, Rights and Provenance for Data Interoperability

Thalhath, Nishad; Nagamori, Mitsuharu; Sakaguchi, Tetsuo

doi:10.1007/978-3-030-64452-9_34

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…Year Mention Use Extension Contributed Domain [11] 2020 X Health [53] 2020 X Media [7,54,81] 2020 X [12,47,51,71] 2020 X [10] 2020 X Health [15,60,74] 2020 X X [17,55,29] 2021 X Health [37,6,76,62,39] 2021 X [72,20,16,73,52] 2021 X [34] 2021 X Smart products [42] 2021 X X [44,46,43,75,59,66,22] 2022 X [21] 2022 X X [69,70,57,23] 2022 X X [5] 2022 X Health [25,14,13,32,50] 2022 X [4] 2022 X IoT [40] 2022 X Health [58,…”

Section: Workmentioning

confidence: 99%

“…In this context, DPV's specifications were compared against other state of the art vocabularies in the data protection domain regarding their ability to represent information related to GDPR rights and duties [21], their machinereadability, maintenance, accessibility, GDPR support and existence of compliance tools [1], and their capacity to aid with data interoperability and adhere to the FAIR principles [81]. In all mentioned surveys, DPV obtained a higher score compared with other existing solutions.…”

Section: Workmentioning

confidence: 99%

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Data Privacy Vocabulary (DPV) - Version 2

Pandit,

Esteves,

Krog

et al. 2024

Preprint

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The Data Privacy Vocabulary (DPV), developed by the W3C Data Privacy Vocabularies and Controls Community Group (DPVCG), enables the creation of machine-readable, interoperable, and standards-based representations for describing the processing of personal data. The group has also published extensions to the DPV to describe specific applications to support legislative requirements such as the EU's GDPR. The DPV fills a crucial niche in the state of the art by providing a vocabulary that can be embedded and used alongside other existing standards such as W3C ODRL, and which can be customised and extended for adapting to specifics of use-cases or domains. This article describes the version 2 iteration of the DPV in terms of its contents, methodology, current adoptions and uses, and future potential. It also describes the relevance and role of DPV in acting as a common vocabulary to support various regulatory (e.g. EU's DGA and AI Act) and community initiatives (e.g. Solid) emerging across the globe.

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Section: Workmentioning

confidence: 99%

Section: Workmentioning

confidence: 99%

Data Privacy Vocabulary (DPV) - Version 2

Pandit,

Esteves,

Krog

et al. 2024

Preprint

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“…VOID is complementary to the DCAT model, uses RDF based schema for describing metadata. Schema.org provides framework to provide supporting information descriptions of data which makes data discovery easier through services like Google Dataset Search engine [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Semantic Web Oriented Approaches for Smaller Communities in Publishing Findable Datasets

Thalhath

Nagamori

Sakaguchi

et al. 2021

Metadata and Semantic Research

Self Cite

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Publishing findable datasets is a crucial step in data interoperability and reusability. Initiatives like Google data search and semantic web standards like Data Catalog Vocabulary (DCAT) and Schema.org provide mechanisms to expose datasets on the web and make them findable. Apart from these standards, it is also essential to optionally explain the datasets, both its structure and applications. Metadata application profiles are a suitable mechanism to ensure interoperability and improve use-cases for datasets. Standards and attempts, including the Profiles (PROF) and VoID vocabularies, as well as frameworks like Dublin core application profiles (DCAP), provide a better understanding of developing and publishing metadata application profiles. The major challenge for domain experts, especially smaller communities intending to publish findable data on the web, is the complexities in understanding and conforming to such standards. Mostly, these features are provided by complex data repository systems, which is not always a sustainable choice for various small groups and communities looking for self-publishing their datasets. This paper attempts to utilize these standards in self-publishing findable datasets through customizing minimal static web publishing tools and demonstrating the possibilities to encourage smaller communities to adopt cost-effective and simple dataset publishing. The authors express this idea though this work-in-progress paper with the notion that such simple tools will help small communities to publish findable datasets and thus, gain more reach and acceptance for their data. From the perspective of the semantic web, such tools will improve the number of linkable datasets as well as promote the fundamental concepts of the decentralized web.

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MetaProfiles - A Mechanism to Express Metadata Schema, Privacy, Rights and Provenance for Data Interoperability

Cited by 2 publications

References 2 publications

Data Privacy Vocabulary (DPV) - Version 2

Data Privacy Vocabulary (DPV) - Version 2

Semantic Web Oriented Approaches for Smaller Communities in Publishing Findable Datasets

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